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Found 5 papers, 1 papers with code
Optimizing Tensor Network Contraction Using Reinforcement Learning
Quantum Computing (QC) stands to revolutionize computing, but is currently still limited.
"This is my unicorn, Fluffy": Personalizing frozen vision-language representations
We propose an architecture for solving PerVL that operates by extending the input vocabulary of a pretrained model with new word embeddings for the new personalized concepts.
Ranked #11 on
Zero-Shot Composed Image Retrieval (ZS-CIR)
on CIRCO
Learning to reason about and to act on physical cascading events
Reasoning and interacting with dynamic environments is a fundamental problem in AI, but it becomes extremely challenging when actions can trigger cascades of cross-dependent events.
Controlling Graph Dynamics with Reinforcement Learning and Graph Neural Networks
We consider the problem of controlling a partially-observed dynamic process on a graph by a limited number of interventions.
Localized epidemic detection in networks with overwhelming noise
Our algorithm requires only local-neighbor knowledge of this graph, and in a broad array of settings that we describe, succeeds even when false negatives and false positives make up an overwhelming fraction of the data available.
